Papers with convolutional self-attention networks
Convolutional Self-Attention Networks (N19-1)
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| Challenge: | Existing models of self-attention networks lack the ability to capture dependencies regardless of distance and can be enhanced with multi-head attention. |
| Approach: | They propose a convolutional self-attention network which can be enhanced by multi-head attention by allowing the model to attend to information from different representation subspaces. |
| Outcome: | The proposed model outperforms existing models on improving locality of SANs on different language pairs and model settings. |